Improve score on Kaggle's House Price competition

This course is intended to show the student advanced regression techniques that he can use to improve his score on Kaggle's House Price ... This course is intended to show the student advanced regression techniques that he can use to improve his score on Kaggle's House Price competition. He will be given an overview of Python's machine learning library, sklearn, which contains many machine learning functions. In addition, he will learn the code for several of those functions, which will help him to get closer to the machine. The student will study several different regressors, which will be needed to make accurate and low error predictions on the dataset. The student will learn several different techniques to impute null values in the dataframe, which he will need to be able to do to make predictions on it later.